Extension neural network

被引：0

作者：

Wang, MH ^{[1
]}

Hung, CP ^{[1
]}

机构：

[1] Natl Chin Yi Inst Technol, Dept Elect Engn, Taichung, Taiwan

来源：

PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4 | 2003年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A novel extension neural network (ENN) is proposed in this paper. This new neural network is a combination of extension theory and neural network. It uses an extension distance (ED) to measure the similarity between data and cluster center. The learning speed of the proposed ENN is shown to be faster than the traditional neural networks and other fuzzy classification methods. Moreover, the new scheme has been proved to have high accuracy and less memory consumption. Experimental results from the Iris data classification problem verify the effectiveness.

引用

页码：399 / 403

页数：5

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